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Sensorless Estimation Based on Neural Networks Trained with the Dynamic Response Points
In the present work, a neuronal dynamic response prediction system is shown to estimate the response of multiple systems remotely without sensors. For this, a set of Neural Networks and the response to the step of a stable system is used. Six basic characteristics of the dynamic response were extrac...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537841/ https://www.ncbi.nlm.nih.gov/pubmed/34695932 http://dx.doi.org/10.3390/s21206719 |